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Related Questions
- What is the impact of out-of-vocabulary (OOV) words on the perplexity metric in large language models (LLMs)?
- How do OOV words influence the perplexity score of an LLM, and what are the implications for model performance?
- Can you explain the relationship between OOV words and perplexity in the context of language modeling, and how do they affect each other?
- How do LLMs handle OOV words, and what effect does this have on the perplexity metric?
- What is the effect of OOV words on the perplexity score of an LLM, and how can this be mitigated?
- Can you discuss the trade-offs between handling OOV words and minimizing perplexity in LLMs?
- How do OOV words impact the ability of an LLM to generalize to unseen data, and what is the relationship between this and perplexity?
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